YouTube2Text
This MCP server provides YouTube video transcription extraction through a REST API and Model Context Protocol integration, removing subtitle timecodes and metadata to deliver clean text suitable for AI processing workflows. Built with support for multiple AI models (Claude, OpenAI, Gemini) and automation platforms (Zapier, n8n), it offers both direct API access via curl/HTTP requests and seamless MCP integration that allows AI assistants to automatically fetch YouTube transcripts for analysis, summarization, and content generation tasks. The implementation includes demo API keys for quick testing, production-ready quotas for regular usage, and comprehensive error handling with rate limiting, making it valuable for content creators, researchers, and developers who need programmatic access to YouTube video transcriptions without manual subtitle processing.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- social-media
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve YouTube2Text from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.